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@@ -4,13 +4,10 @@ This folder shows how to use Llama 3 and popular open source frameworks (LangCha
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The following notebooks are ported from the agents short courses on [Deeplearning.ai](https://www.deeplearning.ai), all powered by Llama 3.
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-Notebook | Description
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-:- | :-
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+1. [Functions Tools and Agents with LangChain L1 Function Calling](Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb)
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-[Functions Tools and Agents with LangChain L1](Functions_Tools_and_Agents_with_LangChain_L1_Function_Calling.ipynb)|Function Calling
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+2. [AI Agents in LangGraph L1 Build an Agent from Scratch](AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb)
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-[AI Agents in LangGraph L1](AI_Agents_in_LangGraph_L1_Build_an_Agent_from_Scratch.ipynb)|Build an Agent from Scratch
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+3. [Building Agentic RAG with Llamaindex L1 Router Engine](Building_Agentic_RAG_with_Llamaindex_L1_Router_Engine.ipynb)
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-[Building Agentic RAG with Llamaindex L1](Building_Agentic_RAG_with_Llamaindex_L1_Router_Engine.ipynb)|Router Engine
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-[AI Agentic Design Patterns with AutoGen L4](AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb)|Tool Use and Conversational Chess
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+4. [AI Agentic Design Patterns with AutoGen L4 Tool Use and Conversational Chess](AI_Agentic_Design_Patterns_with_AutoGen_L4_Tool_Use_and_Conversational_Chess.ipynb)
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Jeff Tang